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Thus, for each frame we build a direction model which is called an instantaneous direction model.

input Direction model D that contains mixtures of vM distributions.

Input framesOptical flow estimationEstimated direction model for the input frames.

Section 3 details the estimation of the Direction Model.

The body direction model can be seen in Fig. 3.

For the random direction model, the sense field is 3 km by 3 km.

For the nodal mobility, the RWP and random direction models were primarily adopted in the simulations; but those models could not commendably reflect the actual mobility characteristics of the vehicles.

Fig. 4 Vector plot of aqueous phase flow (kg/s) for 5 × 1 × 5 blocks (500 m in x-direction, 100 m in y-direction, and 500 m in z-direction) model dipping at 45° with top and bottom bounding layers of infinite heat capacity.

Presence of the bounding layers that supply constant heat influx into the reservoir produces equally spaced temperature contour lines expected for a medium with uniform petrophysical properties Fig. 7 Vector plot of heat flow for the model with 5 × 1 × 5 blocks (each block has 500 m in the x-direction, 100 m in the y-direction, and 500 m in the z-direction) model with bounding layers and 45° dip.

Removing SRH from this model, however, changed the two information criteria in different directions (model III in Table 1), which could mean that the effect of SRH is less than anticipated from the hazard ratios.

The loading edge is clamped and translated in the x-direction, modelling the global straining of the test specimen.